{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['EVENT_FLAG_ALTKEY',\n",
       " 'EVENT_FLAG_CTRLKEY',\n",
       " 'EVENT_FLAG_LBUTTON',\n",
       " 'EVENT_FLAG_MBUTTON',\n",
       " 'EVENT_FLAG_RBUTTON',\n",
       " 'EVENT_FLAG_SHIFTKEY',\n",
       " 'EVENT_LBUTTONDBLCLK',\n",
       " 'EVENT_LBUTTONDOWN',\n",
       " 'EVENT_LBUTTONUP',\n",
       " 'EVENT_MBUTTONDBLCLK',\n",
       " 'EVENT_MBUTTONDOWN',\n",
       " 'EVENT_MBUTTONUP',\n",
       " 'EVENT_MOUSEHWHEEL',\n",
       " 'EVENT_MOUSEMOVE',\n",
       " 'EVENT_MOUSEWHEEL',\n",
       " 'EVENT_RBUTTONDBLCLK',\n",
       " 'EVENT_RBUTTONDOWN',\n",
       " 'EVENT_RBUTTONUP']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看OpenCV常用事件命令\n",
    "event=[i for i in dir(cv2) if 'EVENT' in i]\n",
    "event"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "weight1=[30,20,40,15,10]\n",
    "names=['apple','samsung','OPPO','VIVO','mi']\n",
    "# offset=[0.2,0,0,0.1,0.3]\n",
    "plt.pie(weight1,autopct='%.2f%%',labels=names,\n",
    "        pctdistance=0.85,\n",
    "        radius=1.8,\n",
    "        textprops=dict(color='w'),\n",
    "       wedgeprops=dict(width=0.5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
